在 python 代码中添加 forEach 或 for 循环
Add a forEach or foor loop in python code
我正在使用这个库 midi2img 从图像生成 midi
来自这个库,这是我正在使用的文件:
from PIL import Image
import numpy as np
from music21 import instrument, note, chord, stream
lowerBoundNote = 21
def column2notes(column):
notes = []
for i in range(len(column)):
if column[i] > 255/2:
notes.append(i+lowerBoundNote)
return notes
resolution = 0.25
def updateNotes(newNotes,prevNotes):
res = {}
for note in newNotes:
if note in prevNotes:
res[note] = prevNotes[note] + resolution
else:
res[note] = resolution
return res
def image2midi(image_path):
with Image.open(image_path) as image:
im_arr = np.fromstring(image.tobytes(), dtype=np.uint8)
try:
im_arr = im_arr.reshape((image.size[1], image.size[0]))
except:
im_arr = im_arr.reshape((image.size[1], image.size[0],3))
im_arr = np.dot(im_arr, [0.33, 0.33, 0.33])
""" convert the output from the prediction to notes and create a midi file
from the notes """
offset = 0
output_notes = []
# create note and chord objects based on the values generated by the model
prev_notes = updateNotes(im_arr.T[0,:],{})
for column in im_arr.T[1:,:]:
notes = column2notes(column)
# pattern is a chord
notes_in_chord = notes
old_notes = prev_notes.keys()
for old_note in old_notes:
if not old_note in notes_in_chord:
new_note = note.Note(old_note,quarterLength=prev_notes[old_note])
new_note.storedInstrument = instrument.Piano()
if offset - prev_notes[old_note] >= 0:
new_note.offset = offset - prev_notes[old_note]
output_notes.append(new_note)
elif offset == 0:
new_note.offset = offset
output_notes.append(new_note)
else:
print(offset,prev_notes[old_note],old_note)
prev_notes = updateNotes(notes_in_chord,prev_notes)
# increase offset each iteration so that notes do not stack
offset += resolution
for old_note in prev_notes.keys():
new_note = note.Note(old_note,quarterLength=prev_notes[old_note])
new_note.storedInstrument = instrument.Piano()
new_note.offset = offset - prev_notes[old_note]
output_notes.append(new_note)
prev_notes = updateNotes(notes_in_chord,prev_notes)
midi_stream = stream.Stream(output_notes)
midi_stream.write('midi', fp=image_path.split("/")[-1].replace(".jpeg",".mid"))
import sys
image_path = sys.argv[1]
image2midi(image_path)
这是我在终端中执行的从图像生成 midi 的代码:
python img2midi.py samples/image.png
我需要让上面的代码遍历我放入示例文件夹中的所有输入图像并为每个图像生成 midi,而不是一次只生成一个文件.
如有任何帮助,我们将不胜感激。
您可以通过从目录中获取图像列表并遍历它们来完成此操作。
import sys
import os
sample_folder_path = sys.argv[1]
images = os.listdir(sample_folder_path) # getting all images stored in sample folder
images_path = [os.path.abspath(f"{sample_folder_path}/{image}") for image in images] # gets absolute path for all images
for image_path in images_path:
image2midi(image_path)
用法:
python img2midi.py folder_path
这里folder_path
是包含图片的文件夹路径。可以
我正在使用这个库 midi2img 从图像生成 midi
来自这个库,这是我正在使用的文件:
from PIL import Image
import numpy as np
from music21 import instrument, note, chord, stream
lowerBoundNote = 21
def column2notes(column):
notes = []
for i in range(len(column)):
if column[i] > 255/2:
notes.append(i+lowerBoundNote)
return notes
resolution = 0.25
def updateNotes(newNotes,prevNotes):
res = {}
for note in newNotes:
if note in prevNotes:
res[note] = prevNotes[note] + resolution
else:
res[note] = resolution
return res
def image2midi(image_path):
with Image.open(image_path) as image:
im_arr = np.fromstring(image.tobytes(), dtype=np.uint8)
try:
im_arr = im_arr.reshape((image.size[1], image.size[0]))
except:
im_arr = im_arr.reshape((image.size[1], image.size[0],3))
im_arr = np.dot(im_arr, [0.33, 0.33, 0.33])
""" convert the output from the prediction to notes and create a midi file
from the notes """
offset = 0
output_notes = []
# create note and chord objects based on the values generated by the model
prev_notes = updateNotes(im_arr.T[0,:],{})
for column in im_arr.T[1:,:]:
notes = column2notes(column)
# pattern is a chord
notes_in_chord = notes
old_notes = prev_notes.keys()
for old_note in old_notes:
if not old_note in notes_in_chord:
new_note = note.Note(old_note,quarterLength=prev_notes[old_note])
new_note.storedInstrument = instrument.Piano()
if offset - prev_notes[old_note] >= 0:
new_note.offset = offset - prev_notes[old_note]
output_notes.append(new_note)
elif offset == 0:
new_note.offset = offset
output_notes.append(new_note)
else:
print(offset,prev_notes[old_note],old_note)
prev_notes = updateNotes(notes_in_chord,prev_notes)
# increase offset each iteration so that notes do not stack
offset += resolution
for old_note in prev_notes.keys():
new_note = note.Note(old_note,quarterLength=prev_notes[old_note])
new_note.storedInstrument = instrument.Piano()
new_note.offset = offset - prev_notes[old_note]
output_notes.append(new_note)
prev_notes = updateNotes(notes_in_chord,prev_notes)
midi_stream = stream.Stream(output_notes)
midi_stream.write('midi', fp=image_path.split("/")[-1].replace(".jpeg",".mid"))
import sys
image_path = sys.argv[1]
image2midi(image_path)
这是我在终端中执行的从图像生成 midi 的代码:
python img2midi.py samples/image.png
我需要让上面的代码遍历我放入示例文件夹中的所有输入图像并为每个图像生成 midi,而不是一次只生成一个文件.
如有任何帮助,我们将不胜感激。
您可以通过从目录中获取图像列表并遍历它们来完成此操作。
import sys
import os
sample_folder_path = sys.argv[1]
images = os.listdir(sample_folder_path) # getting all images stored in sample folder
images_path = [os.path.abspath(f"{sample_folder_path}/{image}") for image in images] # gets absolute path for all images
for image_path in images_path:
image2midi(image_path)
用法:
python img2midi.py folder_path
这里folder_path
是包含图片的文件夹路径。可以